Build service AI agents that know your products, not just your prompts
Agent Builder lets service operations teams design and deploy custom AI agents grounded in their own resolution intelligence. No data science team needed.

Why generic AI agents struggle in service
Of agentic AI projects will cancelled by 2027 due to lack of domain expertise
Time to value with Neuron7 vs. 12–24 months to build internally
Resolution accuracy Neuron7 targets before any agent goes live
Agents that know your products and service history
Get up and running in weeks, not quarters or years
Neuron7 ships with a library of pre-built agents for the service workflows every organization runs. Service teams are running within weeks of deployment.

Build custom agents without an engineering team
Service operations leaders define triggers, conditions, and actions for any workflow visually, without writing code.

Deploy agents that know vs. agents that guess
RAG-based agents search documents and generate probable answers. Neuron7 agents draw from validated resolutions built from your actual case history.

The intelligence layer inside the platforms your team already use
Neuron7 agents seamlessly integrate where your team already works. No extra logins. No swivel-chair.

Why Neuron7
The only AI agent that transforms your service operations
Knows your operations
Keeps getting smarter
Pre-empts failures
Explore other use cases

Capture expert knowledge

Resolve issues faster

Ensure AI success
Frequently asked questions
Neuron7 pre-built agents cover the highest-frequency service workflows out of the box, including top recurring issues, next likely error, pre-dispatch summaries, and escalation triage, and work immediately with minimal configuration. Custom agents let you define organization-specific workflows: a compliance check for medical device servicing, a warranty validation flow, or a multi-step dispatch sequence. Both draw from the same Service Expertise Graph.
Neuron7 pre-built agents can go from deployment to production within weeks of initial platform deployment. Custom agents built in the Forge canvas can typically be built and tested in days by a service ops leader without engineering involvement.
When a Neuron7 agent encounters an unfamiliar case, it escalates rather than fabricates. The agent surfaces what it does know, declares its confidence level, and routes to a human SME. In high-stakes service environments like medical devices or industrial equipment, this is the right behavior, as a wrong answer creates real consequences.
Yes. Service teams can build custom AI agents without a data science team using the Agent Builder canvas, designed for service operations leaders and process owners. Triggers, conditions, and actions are configured visually, with Neuron7 handling the underlying intelligence layer, model, and Service Expertise Graph. Ongoing agent creation and modification does not require technical resources.
Neuron7 differs from Salesforce Agentforce and ServiceNow native AI because it builds a Service Expertise Graph from actual service history, generates deterministic resolution pathways, and predicts failures based on fleet-wide patterns. Salesforce and ServiceNow manage the workflow around service: routing cases, tracking work orders, surfacing knowledge articles. Neuron7 is the resolution intelligence layer inside those platforms. Salesforce selected Neuron7 as their first Agentforce partner for service. ServiceNow Ventures made a strategic investment.
See what a product-trained AI agent can do
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